Multi Processor - Storage - Rackmount servers

Discover our extensive selection of rack servers, ranging from 1U up to 10U, each designed to deliver the highest levels of performance, flexibility, scalability, and serviceability in datacenters. Our rackmount servers are engineered to handle a variety of workloads and applications, making them the backbone of modern enterprise and data center operations.

Key Advantages:

• Versatile Performance: From 1U to 10U configurations, our servers are built to provide powerful and efficient performance for everything from basic applications to intensive computing tasks.

• Flexible and Scalable: Easily configurable to meet the growing and changing demands of your business, our rack servers can scale to support increased workloads and expanded storage needs.

• Wide Application Range: Ideal for a multitude of Enterprise and Data Center applications, including Virtualization, Big Data, Analytics, and Cloud Computing, ensuring that your infrastructure is future-proof.

• Common Platform: As the most commonly used servers, rackmount units offer unlimited setup variations to perfectly align with your specific requirements.

For configurations that benefit from a more traditional setup, explore our TOWER SERVERS, which provide similar flexibility and scalability in a form factor suited for different operational environments.

Storage solutions like NAS and SAN are essential for enterprises, providing centralized data storage that can be easily managed and accessed across the network. Newest storage platforms are ofetn used in storage cluster with software defined storage soltuions. Combining Nvme SSD performance with fast storage network gives maximum nvme performance in servers and application performance. Thse factors are often left out from Storage TCO calculations. These storage systems are used in various sectors like healthcare, finance, and education for data backup, archiving, and scalable capacity, offering benefits such as data security, ease of management, and high availability.
Multi-processor systems are engineered to handle high-performance computing tasks, machine learning, and data analytics by utilizing multiple CPUs to execute parallel operations efficiently. Deployed in research labs, data centers, and enterprises, these systems offer significant advantages in terms of computational speed and multitasking capabilities, thereby optimizing workload management and resource utilization.